Relevant bibliographies by topics / Greener Cloud

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Greener Cloud'

Author: Grafiati
Published: 5 June 2025
Last updated: 2 August 2025

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Journal articles on the topic "Greener Cloud"

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Korde, Geetanjali, Pooja Hardiya, and Shraddha Kumar. "Towards a Greener Cloud: Reducing Carbon Footprint for a Sustainable Future." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 09, no. 03 (2025): 1–9. https://doi.org/10.55041/ijsrem43387.

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Green cloud computing aims to reduce the environmental impact of expanding cloud infrastructure. Existing tools often address specific sustainability aspects, such as energy efficiency or carbon monitoring. This project proposes a unified dashboard that integrates essential green cloud computing features, including energy optimization, renewable energy management, lifecycle carbon tracking, and gamification. By centralizing these capabilities, the platform enables organizations to monitor, manage, and optimize their cloud operations sustainably. The dashboard offers real-time data visualizatio
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Gulati, Mandeep Kaur. "Green Cloud Computing and Sustainability: Innovations for a Greener Digital Future." INTERNATIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 09, no. 06 (2025): 1–9. https://doi.org/10.55041/ijsrem50281.

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Cloud computing is a cornerstone of modern digital infrastructure, offering scalable and flexible resources for computing needs. However, the significant energy consumption and carbon footprint of data centers have raised critical environmental concerns. This paper explores the concept of Green Cloud Computing (GCC), emphasizing its role in fostering sustainability within cloud environments. It reviews the challenges of traditional cloud infrastructure, highlights innovative solutions, and proposes a novel AI-driven framework to optimize energy use and integrate renewable energy sources. Indus
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Nazish, Baliyan, and Ahmed Muneeba. "ACHIEVING A SUSTAINABLE ENVIRONMENT USING GREEN CLOUD COMPUTING." International Journal of Engineering Sciences & Emerging Technologies 11, no. 2 (2023): 135–41. https://doi.org/10.5281/zenodo.10441396.

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<em>With the rising use of IT infrastructure around the world, the rise in energy consumption and carbon emissions is a reason of concern for everyone because of the direct impact on the environment.&nbsp;The growing usage of information technology infrastructure and its waste is endangering the environment. To meet the ever-increasing enterprise data storage and processing needs, cloud service providers are developing cutting-edge technologies such as Green Cloud Computing in cloud architecture design to reduce massive power consumption, water consumption and harmful carbon emissions, among o
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Li, Hongming, Dongxiu Ou, and Yuqing Ji. "An Environmentally Sustainable Software-Defined Networking Data Dissemination Method for Mixed Traffic Flows in RSU Clouds with Energy Restriction." International Journal of Environmental Research and Public Health 19, no. 22 (2022): 15112. http://dx.doi.org/10.3390/ijerph192215112.

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The connected multi road side unit (RSU) environment can be envisioned as the RSU cloud. In this paper, the Software-Defined Networking (SDN) framework is utilized to dynamically reconfigure the RSU clouds for the mixed traffic flows with energy restrictions, which are composed of five categories of vehicles with distinctive communication demands. An environmentally sustainable SDN data dissemination method for safer and greener transportation solutions is thus proposed, aiming to achieve the lowest overall SDN cloud delay with the least working hosts and minimum energy consumption, which is a
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Pascual, J. A., T. Lorido-Botrán, J. Miguel-Alonso, and J. A. Lozano. "Towards a Greener Cloud Infrastructure Management using Optimized Placement Policies." Journal of Grid Computing 13, no. 3 (2014): 375–89. http://dx.doi.org/10.1007/s10723-014-9312-9.

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Singh, Harvinder, and Pinky . "Smart E bicycle: an efficient and effective way to greener future." International Journal of Engineering & Technology 7, no. 4.5 (2018): 477. http://dx.doi.org/10.14419/ijet.v7i4.5.21137.

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This paper presents and proposes a smart electric bicycle(SeB) leveraging the power of wireless technologies, artificial intelli- gence and cloud computing in order make its user’s experience smooth, safe and enjoyable hence encouraging the user to choose SeB over other modes of transportation. The proposed system introduces an Electric Bicycle connected with a smartphone in one variant or with “smartphone and cloud” in another variant for smart decision-making and efficiency and other related tips for the user. The range of bicycle is predicted based upon the user profile (weight, age etc.),
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Mahender, Mr Mula. "“Delay-Constrained Task Offloading and Resource Optimization in Edge-Cloud Networks’’." International Scientific Journal of Engineering and Management 04, no. 05 (2025): 1–9. https://doi.org/10.55041/isjem03640.

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ABSTRACT-Delay-Constrained Task Offloading and Resource Optimization in Edge-Cloud Networks A joint optimization model is presented to reduce task latency and energy expenditure while satisfying application deadlines. The problem is cast as a mixed-integer nonlinear program (MINLP), and a hybrid solution integrating deep reinforcement learning and convex optimization is formulated to handle its complexity. This paper is extremely applicable to latency-sensitive IoT, augmented reality, and smart transportation applications. Our method is shown through extensive simulations to significantly redu
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Wang, Xiushuang, Jing Zhu, Shunfu Jin, Wuyi Yue, and Yutaka Takahashi. "Performance Evaluation and Social Optimization of an Energy-Saving Virtual Machine Allocation Scheme Within a Cloud Environment." Journal of the Operations Research Society of China 8, no. 4 (2019): 561–80. http://dx.doi.org/10.1007/s40305-019-00272-x.

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AbstractAchieving greener cloud computing is non-negligible for the open-source cloud platform. In this paper, we propose a novel virtual machine allocation scheme with a sleep-delay and establish a corresponding mathematical model. Taking into account the number of tasks and the state of the physical machine, we construct a two-dimensional Markov chain and derive the average latency of tasks and the energy-saving degree of the system in the steady state. Moreover, we provide numerical experiments to show the effectiveness of the proposed scheme. Furthermore, we study the Nash equilibrium beha
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Kulkarni, Deven. "Smart City Model." International Journal for Research in Applied Science and Engineering Technology 13, no. 6 (2025): 2812–16. https://doi.org/10.22214/ijraset.2025.72201.

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With the rapid urbanization of cities, effective waste management and water conservation have become critical challenges. This paper presents a Smart City Module leveraging the Internet of Things (IoT) to monitor garbage levels and automate watering systems for roadside plants on dividers. The system integrates smart sensors, real-time data processing, and cloud computing to optimize resource utilization and reduce manual intervention. The proposed solution enhances sustainability, reduces operational costs, and contributes to a cleaner and greener urban environment.
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Asad, Zakia, Mohammad Asad Rehman Chaudhry, and David Malone. "Greener Data Exchange in the Cloud: A Coding-Based Optimization for Big Data Processing." IEEE Journal on Selected Areas in Communications 34, no. 5 (2016): 1360–77. http://dx.doi.org/10.1109/jsac.2016.2520245.

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Dissertations / Theses on the topic "Greener Cloud"

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Aldhahri, Eiman Ali. "Dynamic Voltage and Frequency Scaling Enhanced Task Scheduling Technologies Toward Greener Cloud Computing." OpenSIUC, 2014. https://opensiuc.lib.siu.edu/theses/1382.

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The skyrocketing amount of electricity consumed by many data centers around the globe has become a serious issue for the cloud computing and entire IT industry. The demand for data centers is rapidly increasing due to widespread usage of cloud services. It also leads to huge carbon emissions contributing to the global greenhouse effect. The US Environmental Protection Agency has declared that data centers represent a substantial portion of the energy consumption in the US and the whole world. Some of this energy consumption is caused by idle servers or servers running at higher-than-necessar
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Franci, Alessandro. "Green Cloud Computing: una rassegna comparativa." Bachelor's thesis, Alma Mater Studiorum - Università di Bologna, 2010. http://amslaurea.unibo.it/1181/.

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La rapida crescita di Internet e del numero di host connessi sta portando sempre di più alla nascita di nuove forme di tecnlogie ed applicazioni serverside, facendo del client un thin-client. Il Cloud Computing offre una valida piattaforma a queste nuove tecnologie, ma esso si deve confrontare con diverse problematiche, fra cui la richiesta energetica sempre più crescente, che si ripercuote su un'inevitabile aumento dei gas serra prodotti indirettamente. In questa tesi analizzeremo i problemi energetici legati al Cloud Computing e le possibili soluzioni, andando infine a creare una tassonomi
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Aldawsari, B. M. A. "An energy-efficient multi-cloud service broker for green cloud computing environment." Thesis, Liverpool John Moores University, 2018. http://researchonline.ljmu.ac.uk/7954/.

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The heavy demands on cloud computing resources have led to a substantial growth in energy consumption of the data transferred between cloud computing parties (i.e., providers, datacentres, users, and services) and in datacentre’s services due to the increasing loads on these services. From one hand, routing and transferring large amounts of data into a datacentre located far from the user’s geographical location consume more energy than just processing and storing the same data on the cloud datacentre. On the other hand, when a cloud user submits a job (in the form of a set of functional and n
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Ahvar, Ehsan. "Cost-efficient resource allocation for green distributed clouds." Thesis, Evry, Institut national des télécommunications, 2017. http://www.theses.fr/2017TELE0001.

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L'objectif de cette thèse est de présenter de nouveaux algorithmes de placement de machines virtuelles (VMs) à fin d’optimiser le coût et les émissions de carbone dans les Clouds distribués. La thèse se concentre d’abord sur la rentabilité des Clouds distribués, et développe ensuite les raisons d’optimiser les coûts ainsi que les émissions de carbone. La thèse comprend deux principales parties: la première propose, développe et évalue les algorithmes de placement statiques de VMs (où un premier placement d'une VM détient pendant toute la durée de vie de la VM). La deuxième partie propose des a
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Safieddine, Ibrahim. "Optimisation d'infrastructures de cloud computing sur des green datacenters." Thesis, Université Grenoble Alpes (ComUE), 2015. http://www.theses.fr/2015GREAM083/document.

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Les centres de données verts de dernière génération ont été conçus pour une consommation optimisée et une meilleure qualité du niveau de service SLA. Cependant,ces dernières années, le marché des centres de données augmente rapidement,et la concentration de la puissance de calcul est de plus en plus importante, ce qui fait augmenter les besoins en puissance électrique et refroidissement. Un centre de données est constitué de ressources informatiques, de systèmes de refroidissement et de distribution électrique. De nombreux travaux de recherche se sont intéressés à la réduction de la consommati
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Do, Manh Duc. "Green Cloud - Load Balancing, Load Consolidation using VM Migration." TopSCHOLAR®, 2017. https://digitalcommons.wku.edu/theses/2059.

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Recently, cloud computing is a new trend emerging in computer technology with a massive demand from the clients. To meet all requirements, a lot of cloud data centers have been constructed since 2008 when Amazon published their cloud service. The rapidly growing data center leads to the consumption of a tremendous amount of energy even cloud computing has better improved in the performance and energy consumption, but cloud data centers still absorb an immense amount of energy. To raise company’s income annually, the cloud providers start considering green cloud concepts which gives an idea abo
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Gkikas, Dimitrios. "The Impact of Cloud Computing on Entrepreneurship and Start-ups : Case of Greece." Thesis, KTH, Entreprenörskap och Innovation, 2014. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-147767.

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The significant advances of technology in the ICT sector the last decades with the most important the improvements on the internet services and virtualization techniques have led to the emergence of several computing paradigms, with the most recent cloud computing. There are several major international cloud service providers which deliver a variety of cloud services and solutions to individuals or companies. As a result, more and more companies are moving to the cloud leading to a growth of cloud services market. Cloud technologies can offer various benefits to organizations but at the same t
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Ahvar, Ehsan. "Cost-efficient resource allocation for green distributed clouds." Electronic Thesis or Diss., Evry, Institut national des télécommunications, 2017. http://www.theses.fr/2017TELE0001.

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L'objectif de cette thèse est de présenter de nouveaux algorithmes de placement de machines virtuelles (VMs) à fin d’optimiser le coût et les émissions de carbone dans les Clouds distribués. La thèse se concentre d’abord sur la rentabilité des Clouds distribués, et développe ensuite les raisons d’optimiser les coûts ainsi que les émissions de carbone. La thèse comprend deux principales parties: la première propose, développe et évalue les algorithmes de placement statiques de VMs (où un premier placement d'une VM détient pendant toute la durée de vie de la VM). La deuxième partie propose des a
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Cao, Fei. "Efficient Scientific Workflow Scheduling in Cloud Environment." OpenSIUC, 2014. https://opensiuc.lib.siu.edu/dissertations/802.

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Cloud computing enables the delivery of remote computing, software and storage services through web browsers following pay-as-you-go model. In addition to successful commercial applications, many research efforts including DOE Magellan Cloud project focus on discovering the opportunities and challenges arising from the computing and data-intensive scientific applications that are not well addressed by the current supercomputers, Linux clusters and Grid technologies. The elastic resource provision, noninterfering resource sharing and flexible customized configuration provided by the Cloud infra
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Wan, Ariffin Wan Nur Suryani Firuz. "Real-time resource management and energy trading for green cloud-RAN." Thesis, King's College London (University of London), 2017. https://kclpure.kcl.ac.uk/portal/en/theses/realtime-resource-management-and-energy-trading-for-green-cloudran(b576b0a7-0aa3-425e-9b77-407dba2bb6f2).html.

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This thesis considers cloud radio access network (C-RAN), where the remote radio heads (RRHs) are equipped with renewable energy resources and can trade energy with the grid. Due to uneven distribution of mobile radio traffic and inherent intermittent nature of renewable energy resources, the RRHs may need real-time energy provisioning to meet the users demands. Given the amount of available energy resources at RRHs, the main contributions of the thesis begin with introducing realtime resource management strategies to the RRHs with a shortage of power budget to select an optimal number of user
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Books on the topic "Greener Cloud"

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Seireeni, Richard. The Gort Cloud: The invisible force powering today's most visible green brands. Chelsea Green Pub., 2009.

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1946-, Henderson Jeffrey, ed. Acharnians: Lysistrata ; Clouds. Focus Pub./R Pullins, 1997.

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Vogel, Robert. Desktopvirtualisierung: Definitionen - Architekturen - Business-Nutzen ; mit 16 Tabellen. Vieweg + Teubner, 2010.

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Mitchison, Naomi. Cloud Cuckoo Land. Pomona Press, 2006.

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Mitchison, Naomi. Cloud Cuckoo Land. Kennedy & Boyd, 2011.

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Kumar, N. Suresh, and Arun Kumar Sangaiah. Sustainable Green Cloud Computing: Informatics and Systems. Taylor & Francis Group, 2020.

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Sangaiah, Arun Kumar. Sustainable Green Cloud Computing: Informatics and Systems. Taylor & Francis Group, 2020.

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Kumar, N. Suresh, and Arun Kumar Sangaiah. Sustainable Green Cloud Computing: Informatics and Systems. Taylor & Francis Group, 2020.

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Kumar, N. Suresh, and Arun Kumar Sangaiah. Sustainable Green Cloud Computing: Informatics and Systems. Taylor & Francis Group, 2020.

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Kumar, N. Suresh, and Arun Kumar Sangaiah. Sustainable Green Cloud Computing: Informatics and Systems. Taylor & Francis Group, 2020.

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Book chapters on the topic "Greener Cloud"

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Lorido-Botran, Tania, Jose Antonio Pascual, Jose Miguel-Alonso, and Jose Antonio Lozano. "Optimization of Application Placement Towards a Greener Cloud Infrastructure." In Applications of Evolutionary Computation. Springer Berlin Heidelberg, 2014. http://dx.doi.org/10.1007/978-3-662-45523-4_56.

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Vitali, Monica. "Towards Greener Applications: Enabling Sustainable-aware Cloud Native Applications Design." In Advanced Information Systems Engineering. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-07472-1_6.

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WU, Siegfried Zhiqiang. "The Technical Framework of AI Cities." In The Urban Book Series. Springer Nature Singapore, 2025. https://doi.org/10.1007/978-981-96-2560-4_8.

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Abstract This chapter delineates the technical framework of an AI-driven city and its pivotal components, with a particular emphasis on data perception and database management, intelligent feedback mechanisms, decision-making technologies, and their application scenarios. It provides an in-depth examination of the establishment of CiMA (Urban Intelligent Mapping Alliance) and the evolution of its database architecture, which facilitates large-scale urban data storage and processing nationwide, thereby fostering the collaborative construction and sharing of foundational digital city data. Regar
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Xia, Yu, Xueyong Xu, Wanyuan Wang, Xiujun He, Weiwei Wu, and Xiaolin Fang. "Recovering Cloud Services Using Hybrid Clouds Under Power Outage." In Green, Pervasive, and Cloud Computing. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-64243-3_37.

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Mukherjee, Anwesha, Debashis De, and Rajkumar Buyya. "New Research Directions for Green Mobile Cloud Computing." In Green Mobile Cloud Computing. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-08038-8_16.

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Katal, Avita. "Energy Efficient Virtualization and Consolidation in Mobile Cloud Computing." In Green Mobile Cloud Computing. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-08038-8_3.

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Biswas, Asmita, Pelle Jakovits, and Deepsubhra Guha Roy. "Sustainable Energy Management System Using Green Smart Grid in Mobile Cloud Computing Environment." In Green Mobile Cloud Computing. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-08038-8_7.

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Chakraborty, Avishek, Anwesha Mukherjee, Soumya Bhattacharyya, Sumit Kumar Singh, and Debashis De. "Multi-criterial Offloading Decision Making in Green Mobile Cloud Computing." In Green Mobile Cloud Computing. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-08038-8_4.

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Ghosh, Subha, and Debashis De. "5G Green Mobile Cloud Computing Using Game Theory." In Green Mobile Cloud Computing. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-08038-8_5.

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Maitra, Tanmoy, Pinaki Sankar Chatterjee, and Debasis Giri. "Security Frameworks for Green Mobile Cloud Computing." In Green Mobile Cloud Computing. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-08038-8_6.

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Conference papers on the topic "Greener Cloud"

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O''Suilleabhain, Colm, Tristan Tyler, and Gianni Moor. "The contribution of advanced structural inspection methodologies to enhancing the sustainability of the built environment." In IABSE Symposium, Tokyo 2025: Environmentally Friendly Technologies and Structures: Focusing on Sustainable Approaches. International Association for Bridge and Structural Engineering (IABSE), 2025. https://doi.org/10.2749/tokyo.2025.2018.

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&lt;p&gt;This paper explores how the use of modern structural investigation technology can enhance the sustainability of the built environment by enabling existing structures to be used as long as possible with a minimum of structural intervention – either by providing confidence that they remain safe and fit for purpose or by identifying any potential weaknesses and enabling precisely defined remediation work to be carried out in good time. A holistic approach is described, involving not only state-of-the-art non-destructive testing (NDT) equipment but also a high-tech, long-term “asset manag
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Tai, Joeray, Binita Sen, Dhivya Sampath Kumar, Sivaneasan Bala Krishnan, Anurag Sharma, and Avishek Kumar. "Distributed Energy Management in a Hybrid Cloud Platform." In 2025 9th International Conference on Green Energy and Applications (ICGEA). IEEE, 2025. https://doi.org/10.1109/icgea64602.2025.11009361.

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Kumar, A. B. Pradeep, Santoshachandra Rao Karanam, Vamsi Babu Meka, Sai Chandu Kalapala, Javvadi Sidhartha, and Hari Vardhan Reddy Pasam. "Simulation of Green Cloud Computing Using Virtualization." In 2024 International Conference on Computational Intelligence for Green and Sustainable Technologies (ICCIGST). IEEE, 2024. http://dx.doi.org/10.1109/iccigst60741.2024.10717572.

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Agith, Kaavya, P. Sivakumar, L. Gideon Samuel Babu, S. Kuber Visnu, S. Divya., and J. Dhiwakar. "Cloud Based Load Balancer for Energy Conservation." In 2024 IEEE International Conference on Intelligent Systems, Smart and Green Technologies (ICISSGT). IEEE, 2024. https://doi.org/10.1109/icissgt58904.2024.00027.

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Rakjit, Chutiwan, William Liu, and Jairo A. Gutierrez. "EESManager: Making greener cloud apps." In 2013 22nd ITC Specialist Seminar on Energy Efficient and Green Networking (SSEEGN). IEEE, 2013. http://dx.doi.org/10.1109/sseegn.2013.6705399.

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Wadhwa, Mridul, Approv Goel, Tanupriya Choudhury, and Ved P. Mishra. "Green Cloud Computing - A Greener Approach To IT." In 2019 International Conference on Computational Intelligence and Knowledge Economy (ICCIKE). IEEE, 2019. http://dx.doi.org/10.1109/iccike47802.2019.9004283.

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Ravi, Vaishnavi, and H. Shahul Hamead. "Reinforcement Learning Based Service Provisioning for a Greener Cloud." In 2014 3rd International Conference on Eco-friendly Computing and Communication Systems (ICECCS). IEEE, 2014. http://dx.doi.org/10.1109/eco-friendly.2014.92.

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Rawas, Soha, Wassim Itani, Ali Zaart, and Ahmed Zekri. "Towards greener services in cloud computing: Research and future directives." In 2015 International Conference on Applied Research in Computer Science and Engineering (ICAR). IEEE, 2015. http://dx.doi.org/10.1109/arcse.2015.7338145.

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Priya, B., E. S. Pilli, and R. C. Joshi. "A survey on energy and power consumption models for Greener Cloud." In 2013 3rd IEEE International Advanced Computing Conference (IACC 2013). IEEE, 2013. http://dx.doi.org/10.1109/iadcc.2013.6514198.

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Cordeiro, Daniel, Emilio Francesquini, Marcos Amarís, Márcio Castro, Alexandro Baldassin, and João V. F. Lima. "Green Cloud Computing: Challenges and Opportunities." In Anais Estendidos do Simpósio Brasileiro de Sistemas de Informação. Sociedade Brasileira de Computação (SBC), 2023. http://dx.doi.org/10.5753/sbsi_estendido.2023.229291.

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We discuss the immediate need, challenges, and opportunities to transition into greener cloud computing platforms. Actions must be taken not only by the academy and the industry, but also by computer science practitioners from several areas, such as information systems, scheduling theory, distributed systems, HPC, computer architecture, and approximate computing, to cite a few.
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Reports on the topic "Greener Cloud"

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Berney, Ernest, Andrew Ward, and Dustin Brown. Enhanced Route Reconnaissance—Generation 1. Engineer Research and Development Center (U.S.), 2025. https://doi.org/10.21079/11681/49799.

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The movement of soldiers and materiel across battlespace is critical to a successful military operation. Knowledge of the road network condition ensures safe and successful vehicle maneuver. This research focused on remote assessment of poor-quality paved road networks for vehicle maneuver using data products derived from three-dimensional point clouds. Point clouds were generated from lidar sensors deployed from ground and airborne platforms to enable engineering analysis of the pavement surface. A series of algorithms developed to extract roughness, grade, radius of curvature, and width alon
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Fitzpatrick, Patrick, and Yee Lau. CONCORDE Meteorological Analysis (CMA) - Data Guide. The University of Southern Mississippi, 2023. http://dx.doi.org/10.18785/sose.003.

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CONCORDE is the CONsortium for oil spill exposure pathways in COastal River-Dominated Ecosystems (CONCORDE), and is an interdisciplinary research program funded by the Gulf of Mexico Research Initiative (GoMRI) to conduct scientific studies of the impacts of oil, dispersed oil and dispersant on the Gulf’s ecosystem (Greer et al. 2018). A CONCORDE goal is to implement a synthesis model containing circulation and biogeochemistry components of the Northern Gulf of Mexico shelf system which can ultimately aid in prediction of oil spill transport and impacts. The CONCORDE Meteorological Analysis (C
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